[from steve_portigal] You Too Can Be Masterful at Analyzing Data (Go Dirty) [Cheskin Added Value] – [Darrel Rhea on the importance of outliers in analysis] At some point we grow the confidence and skill to look beyond the “tidy patterns” (however useful they might be) and focus on the anomalies. We become fascinated by data that doesn’t fit the patterns, or that doesn’t support our hypothesis. What the beginner discards as noise in the data, the master focuses on. That is where the big “Ah Ha’s” are – and where the big proprietary insights come from that can drive innovation. It’s often in weird, dirty data that we make our best discoveries.

[from steve_portigal] Facebook’s ‘Like’ and Conspicuous Consumption [Lone Gunman] – [Agreed, but what are our expectations for outcomes of displaying our identity and values. To connect with others who share our likes? To have our likes acknowledged and even complimented? I think there's a lot more here, no doubt that social psychologists have been studying for decades] I feel that the ‘Like’ functionality is an expense-less method of conspicuous consumption: signalling your likes and brand preferences without having to actually purchase anything (we are saying “I aspire to be the type of person who likes x, y, z” or maybe more accurately “I want you to think I’m the type of person who likes x, y, z”).